Faculty Bibliography

OBJECTIVES/OBJECTIVE:To develop a consensus statement on the use of lung ultrasound (LUS) in the assessment of symptomatic general medical inpatients with known or suspected coronavirus disease 2019 (COVID-19). METHODS:Our LUS expert panel consisted of 14 multidisciplinary international experts. Experts voted in 3 rounds on the strength of 26 recommendations as "strong," "weak," or "do not recommend." For recommendations that reached consensus for do not recommend, a fourth round was conducted to determine the strength of those recommendations, with 2 additional recommendations considered. RESULTS:Of the 26 recommendations, experts reached consensus on 6 in the first round, 13 in the second, and 7 in the third. Four recommendations were removed because of redundancy. In the fourth round, experts considered 4 recommendations that reached consensus for do not recommend and 2 additional scenarios; consensus was reached for 4 of these. Our final recommendations consist of 24 consensus statements; for 2 of these, the strength of the recommendations did not reach consensus. CONCLUSIONS:In symptomatic medical inpatients with known or suspected COVID-19, we recommend the use of LUS to: (1) support the diagnosis of pneumonitis but not diagnose COVID-19, (2) rule out concerning ultrasound features, (3) monitor patients with a change in the clinical status, and (4) avoid unnecessary additional imaging for patients whose pretest probability of an alternative or superimposed diagnosis is low. We do not recommend the use of LUS to guide admission and discharge decisions. We do not recommend routine serial LUS in patients without a change in their clinical condition.

OBJECTIVES/OBJECTIVE:The role of overcrowded and multigenerational households as a risk factor for COVID-19 remains unmeasured. The objective of this study is to examine and quantify the association between overcrowded and multigenerational households and COVID-19 in New York City (NYC). STUDY DESIGN/METHODS:Cohort study. METHODS:We conducted a Bayesian ecological time series analysis at the ZIP Code Tabulation Area (ZCTA) level in NYC to assess whether ZCTAs with higher proportions of overcrowded (defined as the proportion of the estimated number of housing units with more than one occupant per room) and multigenerational households (defined as the estimated percentage of residences occupied by a grandparent and a grandchild less than 18 years of age) were independently associated with higher suspected COVID-19 case rates (from NYC Department of Health Syndromic Surveillance data for March 1 to 30, 2020). Our main measure was an adjusted incidence rate ratio (IRR) of suspected COVID-19 cases per 10,000 population. Our final model controlled for ZCTA-level sociodemographic factors (median income, poverty status, White race, essential workers), the prevalence of clinical conditions related to COVID-19 severity (obesity, hypertension, coronary heart disease, diabetes, asthma, smoking status, and chronic obstructive pulmonary disease), and spatial clustering. RESULTS: = 0.99, 95% CI: 0.99-1.00). CONCLUSIONS:Overcrowdedness and multigenerational housing are independent risk factors for suspected COVID-19. In the early phase of the surge in COVID cases, social distancing measures that increase house-bound populations may inadvertently but temporarily increase SARS-CoV-2 transmission risk and COVID-19 disease in these populations.

PURPOSE OF REVIEW/OBJECTIVE:While obesity-related comorbidities are frequently addressed and treated in primary care (PC), obesity itself is undertreated. We review the current treatments for obesity and provide potential provider and system-level strategies for integrating weight management and improving longer term obesity care within PC settings. RECENT FINDINGS/RESULTS:We now understand that the body develops multiple mechanisms to resist weight loss and promote weight regain, making both weight loss and weight loss maintenance challenging. Therefore, weight management often requires medically supervised interventions and should be treated on a long-term basis. However, there are multiple barriers to improving obesity care within PC settings. Clinically, utilizing strategies such as a shared decision-making approach and the 5As to discuss treatment options can facilitate formulating an obesity treatment plan. Utilizing telehealth, a team-based approach, and community partnering can increase patient access to intensive behavioral interventions. Future studies should evaluate other cost-effective methods to implement obesity care into the PC setting.

Background/Purpose: Axial gout involvement was first reported in 1950 (1). Over 100 cases have subsequently been published. Reported cases have presented as acute back pain, cord compression, and/or neurologic symptoms, with diagnosis made by invasive procedure (surgical excision or biopsy). However, the true extent of MSU deposition in the spine of gout patients, including asymptomatic patients or those with non-specific symptoms, is unknown and likely higher. We used DECT to determine the extent of MSU deposition in the lumbosacral spines of patients with gout, with and without tophi, compared to controls without gout.
Method(s): We recruited controls, nontophaceous, and tophaceous gout patients, age 45-80. Individuals with CPPD disease, RA, spondyloarthropathy, active spinal malignancy, or on urate lowering treatment (ULT) >= 6 months were excluded. Gout subjects met 2015 ACR gout classification criteria, with entry serum urate (sU) of >6.8 mg/dL ( >6.0 mg/dL if on ULT for < 6 months). Demographics, gout history, Aberdeen back pain scale, sU, ESR, and CRP were collected. Subjects underwent DECT of the lumbosacral spine (LS) to assess for MSU deposition.
Result(s): 75 subjects were enrolled, and 72 completed the study (1 nontophaceous gout patient lost to follow-up prior to DECT, 2 tophaceous excluded after sU at time of DECT found to be < 6.0mg/dL). All groups were similar in age in years (controls 61.8+/-3.8, nontophaceous 64.0+/-6.1, tophaceous 60.4+/-11.0, p=0.81) but differed in BMI (controls 28.3+/-6.5 kg/m², nontophaceous 34.1+/-7.2 kg/m², tophaceous 29.5+/-4.5 kg/m², p=0.03) and creatinine (controls 1.0+/-0.2 mg/dL, nontophaceous 1.4+/-0.7 mg/dL, tophaceous 1.4+/-0.6 mg/dL, p< 0.05). Mean sU and ESR were higher in gout subjects (sU-controls 5.3+/-1 mg/dL, nontophaceous 8.5+/-1.7 mg/dL, tophaceous 8.5+/-1.6 mg/dL, p< 0.05; ESR-controls 13.7+/-13.8 mm/h, nontophaceous 26.5+/-19.4 mm/h, tophaceous 25.1+/-15.7 mm/h, p< 0.05). Using standard DECT settings for MSU visualization, gout patients had larger MSU volumes than controls (controls 2.2+/-1.2 cm3, all gout 5.23+/-6.9 cm3; p =0.03). Tophaceous patients had numerically greater MSU deposition compared with nontophaceous (6.0+/-8.9 cm3, vs 4.4+/-4.3 cm3, ns). Reanalysis of a subset of scans using highly specific settings to eliminate artifact reduced the number of subjects with MSU signal but confirmed greater prevalence of deposition among gout patients (n=29; controls with deposition 0/9, nontophaceous with deposition 1/11, tophaceous with deposition 2/9). Back pain was also more common among gout patients. No subject had frank tophi on spinal DECT.
Conclusion(s): Gout patients have significantly greater intercritical inflammation and LS MSU deposition than controls, and trend toward greater deposition among patients with tophi. Preliminary results using the most stringent DECT threshold settings suggests MSU differences are not artifact. The complete data set is currently undergoing evaluation and the full results will be presented

OBJECTIVES/OBJECTIVE:Predictive studies play important roles in the development of models informing care for patients with COVID-19. Our concern is that studies producing ill-performing models may lead to inappropriate clinical decision-making. Thus, our objective is to summarise and characterise performance of prognostic models for COVID-19 on external data. METHODS:We performed a validation of parsimonious prognostic models for patients with COVID-19 from a literature search for published and preprint articles. Ten models meeting inclusion criteria were either (a) externally validated with our data against the model variables and weights or (b) rebuilt using original features if no weights were provided. Nine studies had internally or externally validated models on cohorts of between 18 and 320 inpatients with COVID-19. One model used cross-validation. Our external validation cohort consisted of 4444 patients with COVID-19 hospitalised between 1 March and 27 May 2020. RESULTS:Most models failed validation when applied to our institution's data. Included studies reported an average validation area under the receiver-operator curve (AUROC) of 0.828. Models applied with reported features averaged an AUROC of 0.66 when validated on our data. Models rebuilt with the same features averaged an AUROC of 0.755 when validated on our data. In both cases, models did not validate against their studies' reported AUROC values. DISCUSSION/CONCLUSIONS:Published and preprint prognostic models for patients infected with COVID-19 performed substantially worse when applied to external data. Further inquiry is required to elucidate mechanisms underlying performance deviations. CONCLUSIONS:Clinicians should employ caution when applying models for clinical prediction without careful validation on local data.

Background/Purpose: Type I interferon (IFN) is critical in our defense against viral infections. Increased type I IFN pathway activation is a genetic risk factor for systemic lupus erythematosus (SLE), and a number of common alleles contribute to the genetic high IFN trait. In this study, we examine whether these common gain-of-function alleles in the type I IFN pathway are associated with protection from mortality in acute COVID-19.
Method(s): We studied IFN pathway SLE risk genes in patients with acute COVID-19 admitted to NYU Langone hospitals (751 European-American and 398 African-American ancestry). The samples were genotyped using low depth sequencing and imputation, and we analyzed data from the following SNPs: IRF5 (rs2004640, rs3807306, rs10488631, rs2280714), IRF7/PHRF (rs1131665, rs4963128), IRF8 (rs17445836, rs12444486), and PRKG1 (rs7897633). Ancestral backgrounds were analyzed separately, and mortality after acute COVID-19 was the primary outcome.
Result(s): We observed specific IRF5 haplotypes that are protective against SLE risk were associated with increased risk of mortality in acute COVID-19 patients in European-American ancestry (OR=3.74, p=0.015). Alleles of PRKG1 were also associated with mortality from COVID-19 in the European-American ancestry cohort (OR=1.80, p=0.0057), and this risk factor was particularly strong in younger patients (OR=29.2, p=0.01 in ages 45-54). IRF8 genotype at rs1244486 was associated with protection from mortality in COVID-19 in African-American subjects aged 65 and older (OR=0.34, p=0.04).
Conclusion(s): We find that a number of type I IFN pathway genes associated with risk of SLE also modulate risk of death during acute COVID-19. Similar to their associations with SLE, these alleles are variably associated with COVID-19 mortality across ancestral backgrounds, suggesting ancestral differences in the genetic regulation of the IFN pathway. These data confirm the critical role of the IFN pathway in our defense against viral infections, and support the idea that some common SLE risk alleles exert protective effects in anti-viral immunity